Vegetation survey data comprise per-quadrat species level data and abundances, abundance cover classes (following Braun-Blanquet method), family, growth duration, habitat and native species. Data also contain ground cover class and Denisom reading for tree canopy cover. Data were collected from the South Fork McKenzie river, Oregon, USA in June 2021 following the Holiday Farm wildfire in Autumn 2020. Vegetation surveys were conducted in restored and unrestored reaches of the South Fork McKenzie River with a view to quantifying differences in vegetation response to wildfire in the restored vs. unrestored river reaches. The study was conducted by the University of Nottingham, with data collected by partners from The US Forest Service, Portland State University, Washington State University and Colorado State University. Funding for the work was received from the Natural Environment Research Council. Full details about this dataset can be found at https://doi.org/10.5285/251081d0-0388-44fa-b5f9-a4c784f64218

Soil data comprises sample depth, moisture content, % sand/silt/clay, texture, and various nitrate/nitrite/carbon metrics. These data were collected from the South Fork McKenzie River, Oregon, USA in July 2020, February 2021 and June 2021 following the Holiday Farm wildfire in Autumn 2020. Samples were collected from a restored and unrestored reach of the South Fork McKenzie River with a view to quantifying differences in soil response to wildfire in the restored vs. unrestored river reaches. The study was conducted by the University of Nottingham, with data collected by partners from The US Forest Service, Portland State University, Washington State University and Colorado State University. Funding for the work was received from the Natural Environment Research Council grant NE/V021443/1. Full details about this dataset can be found at https://doi.org/10.5285/d69e854a-f01d-4d5e-8819-219053e8d00c

Data comprise macroinvertebrate count data (identified to species level), trait and classification information, as well as information on macroinvertebrate biomass and site-specific observations (e.g. canopy cover, habitat type, etc.) collected from the South Fork McKenzie river, Oregon, USA in Autumn 2019 and 2020, and winter of 2021 following the Holiday Farm wildfire in Autumn 2020. Samples were collected from restored and unrestored river reaches to quantify the difference in the response of benthic macroinvertebrate response to wildfire. The study was conducted by the University of Nottingham, with data collected by partners from the US Forest Service, Portland State University, Washington State University and Colorado State University. The work was funded by the Natural Environment Research Council. Full details about this dataset can be found at https://doi.org/10.5285/50119e9c-b6d9-4b72-98c9-588ca1d7c6fe

Bird data comprises point counts of bird species and their abundance observed at each collection site. Data are separated into birds within 50m, greater than 50m distant and birds in flight. These data were collected from the South Fork McKenzie river, Oregon, USA in June 2021 following the Holiday Farm wildfire in Autumn 2020. Samples were collected from a restored and unrestored reach of the South Fork McKenzie River with a view to quantifying differences in avian response to wildfire in the restored vs. unrestored river reaches. The study was conducted by the University of Nottingham, with data collected by partners from The US Forest Service, Portland State University, Washington State University and Colorado State University. Funding for the work was received from the Natural Environment Research Council. Full details about this dataset can be found at https://doi.org/10.5285/dd919c8e-ccd6-48ed-a1c0-ef5cf732bdc6

The data comprise Sentinel-2 derived burn severity rasters covering restored and unrestored reaches of the South Fork McKenzie river, Oregon USA. The data were collected in order to quantify differences in burn severity in restored and unrestored river reaches following the Holiday Farm wildfire in 2020. Raw satellite imagery acquired in June 2020 and June 2021 was processed to calculate Normalised Burn Ratio (NBR), giving pre- and post-fire burn severity information. Data consist of 10 m .TIF raster imagery where a digital number gives a measure of burn severity; high NBR values indicate healthy vegetation, whereas lower values indicate burnt areas or bare ground. The study was conducted by the University of Nottingham, in partnership with the US Forest Service, Portland State University, Washington State University and Colorado State University. Funding for the work was received from the Natural Environment Research Council. Full details about this dataset can be found at https://doi.org/10.5285/8162887a-5481-440f-a7f2-427eee793efd